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Modeling kernel weight of hybrid maize seed production with different water regimes

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  • Shi, Rongchao
  • Tong, Ling
  • Ding, Risheng
  • Du, Taisheng
  • Shukla, Manoj Kumar

Abstract

Kernel weight (KW) is the key to ensuring seed vigor in hybrid maize (Zea mays L.) production, and irrigation is important for ensuring KW in arid regions. Irrigation experiments were conducted in an arid region of Northwest China to investigate the effects of water deficit on KW, plant growth rate per kernel after silking (PGRKAS), lag phase duration (LPD), kernel growth rate during effective grain filling (KGREGF), and effective grain filling duration (EGFD), which included a 50% water deficit at the vegetative stage, and a 50% and 100% water deficit at the flowering and grain-filling stages in 2018 and 2019. A restricted pollination treatment and two defoliation treatments (three and six leaves were removed from the top 14 days after silking) were conducted under each irrigation treatment in 2019 to obtain a wide range of data on grain filling characteristics and aboveground biomass. The results showed that a 50% water deficit at the vegetative stage shortened EGFD and LPD in both years. The 50% and 100% water deficit at the grain-filling stage decreased KW, PGRKAS, EGFD, and KGREGF in 2019, but had no significant differences in each indices in 2018 due to heavy rainfall. We found a bilinear plateau relationship between relative KGREGF (RKGREGF) and relative PGRKAS (RPGRKAS) as well as a logistic relationship between relative EGFD and RPGRKAS/RKGREGF. Combined with the Jensen model to simulate biomass characteristic parameters (the maximum aboveground biomass, the day of year of the maximum absolute growth rate, and the initial growth rate), the KW–water model performed well in predicting the KW of hybrid maize seed production under different irrigation treatments. This research provides a quantitative method for modeling the KW of hybrid maize seed production, which considers the source-sink relationship under different water regimes in arid areas.

Suggested Citation

  • Shi, Rongchao & Tong, Ling & Ding, Risheng & Du, Taisheng & Shukla, Manoj Kumar, 2021. "Modeling kernel weight of hybrid maize seed production with different water regimes," Agricultural Water Management, Elsevier, vol. 250(C).
    • Handle: RePEc:eee:agiwat:v:250:y:2021:i:c:s0378377421001165
    DOI: 10.1016/j.agwat.2021.106851
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    References listed on IDEAS

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    2. Wang, Jintao & Kang, Shaozhong & Zhang, Xiaotao & Du, Taisheng & Tong, Ling & Ding, Risheng & Li, Sien, 2018. "Simulating kernel number under different water regimes using the Water-Flowering Model in hybrid maize seed production," Agricultural Water Management, Elsevier, vol. 209(C), pages 188-196.
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    4. Wang, Yufeng & Kang, Shaozhong & Li, Fusheng & Zhang, Xiaotao, 2021. "Modified water-nitrogen productivity function based on response of water sensitive index to nitrogen for hybrid maize under drip fertigation," Agricultural Water Management, Elsevier, vol. 245(C).
    5. Wang, Jintao & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Li, Sien, 2019. "Estimating the upper and lower limits of kernel weight under different water regimes in hybrid maize seed production," Agricultural Water Management, Elsevier, vol. 213(C), pages 128-134.
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    1. Shi, Rongchao & Wang, Jintao & Tong, Ling & Du, Taisheng & Shukla, Manoj Kumar & Jiang, Xuelian & Li, Donghao & Qin, Yonghui & He, Liuyue & Bai, Xiaorui & Guo, Xiaoxu, 2022. "Optimizing planting density and irrigation depth of hybrid maize seed production under limited water availability," Agricultural Water Management, Elsevier, vol. 271(C).

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